Yu‐Chuan Shih
- Electrical and Electronic Engineering top 10%
- Materials Chemistry top 10%
- Renewable Energy, Sustainability and the Environment top 10%
- Biomedical Engineering
- Polymers and Plastics top 10%
- Co-authors
- Yu‐Lun ChuehYi‐Chung WangTeng‐Yu SuChia‐Wei ChenHenry MedinaArumugam ManikandanZhiming WangHao‐Chung Kuo
- Topics
- Advanced Memory and Neural Computing (14 papers)Ferroelectric and Negative Capacitance Devices (8 papers)Neuroscience and Neural Engineering (5 papers)
- Cited by
- Renewable Energy, Sustainability and the EnvironmentElectrical and Electronic EngineeringMaterials Chemistry
- Partner nations
- TaiwanChinaUnited States
In The Last Decade
Yu‐Chuan Shih
25 papers receiving 966 citations
Peers
Comparison fields: 5 of 80
- Electrical and Electronic Engineering 586
- Materials Chemistry 394
- Renewable Energy, Sustainability and the Environment 274
- Biomedical Engineering 200
- Polymers and Plastics 101
Countries citing papers authored by Yu‐Chuan Shih
This map shows the geographic impact of Yu‐Chuan Shih's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Yu‐Chuan Shih with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yu‐Chuan Shih more than expected).
Fields of papers citing papers by Yu‐Chuan Shih
This network shows the impact of papers produced by Yu‐Chuan Shih. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Yu‐Chuan Shih. The network helps show where Yu‐Chuan Shih may publish in the future.
Co-authorship network of co-authors of Yu‐Chuan Shih
This figure shows the co-authorship network connecting the top 25 collaborators of Yu‐Chuan Shih. A scholar is included among the top collaborators of Yu‐Chuan Shih based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Yu‐Chuan Shih. Yu‐Chuan Shih is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 9 | |
| 3 | 8 | |
| 4 | 11 | |
| 5 | 12 | |
| 6 | 39 | |
| 7 | 3 | |
| 8 | 3 | |
| 9 | 4 | |
| 10 | 22 | |
| 11 | 68 | |
| 12 | 95 | |
| 13 | 90 | |
| 14 | 225 | |
| 15 | 4 | |
| 16 | 137 | |
| 17 | 21 | |
| 18 | 17 | |
| 19 | 10 | |
| 20 | 3 |
About Yu‐Chuan Shih
Yu‐Chuan Shih is a scholar working on Medical Laboratory Technology, Electrical and Electronic Engineering and Cellular and Molecular Neuroscience, having authored 25 papers that have together received 979 indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (14 papers), Ferroelectric and Negative Capacitance Devices (8 papers) and Neuroscience and Neural Engineering (5 papers). The work is most often cited by research in Renewable Energy, Sustainability and the Environment (274 citations), Electrical and Electronic Engineering (586 citations) and Materials Chemistry (394 citations). Yu‐Chuan Shih has collaborated with scholars based in Taiwan, China and United States. Frequent co-authors include Yu‐Lun Chueh, Yi‐Chung Wang, Teng‐Yu Su, Chia‐Wei Chen, Henry Medina, Arumugam Manikandan, Zhiming Wang, Hao‐Chung Kuo, Jian‐Shiou Huang and Ling Lee. Their work appears in journals such as Advanced Materials, ACS Nano and Advanced Functional Materials.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.